The paper presents the design of a prototype booster eye surgery. The objective is to optimize the operation of determining and monitoring the axis of the implant toric intraocular artificial lenses for patients with ...
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This paper presents a new approach in the identification of the quadrotor dynamic model using a black-box system for identification. Also the paper considers the problems which appear during the identification in the ...
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This paper presents a new approach in the identification of the quadrotor dynamic model using a black-box system for identification. Also the paper considers the problems which appear during the identification in the closed-loop and offers a technical solution for overcoming the correlation between the input noise present in the output.
Stochastic control with quadratic cost and partial, noisy observation has been considered. It has been proven, under rather natural assumptions, that the cost function is lower bounded by two types of bounds. The firs...
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Power quality (PQ) metering is an important part of the maintenance of modern electrical grids. Among different PQ indices, flicker severity coefficients Pst and Plt are measures of voltage fluctuation. In typical PQ ...
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This paper introduces vision based loop closure detection in Simultaneous Localisation And Mapping (SLAM) using Tree of Words. The loop closure performance in a complex urban environment is examined and an additional ...
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ISBN:
(纸本)9780646506432
This paper introduces vision based loop closure detection in Simultaneous Localisation And Mapping (SLAM) using Tree of Words. The loop closure performance in a complex urban environment is examined and an additional feature is suggested for safer matching. A SLAM ground experiment in an urban area is performed using Tree of Words, a delayed state information filter and planar laser scans for relative pose estimation. Results show that a good map estimation using our vision based loop closure detection can be obtained in near real, yet constant, time. It is shown that an odometry supported recall rate of almost 70% can be obtained with a false detection rate of about 0.01%.
The paper presents an application of the modulating functions method (MFM) for the identification of an industrial process of glass conditioning, which involves cooling the glass mass between its melting and further p...
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In this paper the research on optimisation of visual object tracking using a Siamese neural network for embedded vision systems is presented. It was assumed that the solution shall operate in real-time, preferably for...
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Deep neural networks virtually dominate the domain of most modern vision systems, providing high performance at a cost of increased computational complexity. Since for those systems it is often required to operate bot...
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Quantum Neural Networks (QNNs) are an emerging technology that can be used in many applications including computer vision. In this paper, we presented a traffic sign classification system implemented using a hybrid qu...
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In this paper we present a vision based hardware-software control system enabling the autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows for the detection of a marked landing pa...
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